Hierarchical Management to be Implemented on Ratification Risk of Certification Institution

Recently, the China National Accreditation Service for Conformity Assessment (CNAS) has promulgated Measures for Hierarchical Management of Ratification Risk of Certification Institution (hereinafter referred to as Measures), which was put into execution.……

Category List of Import and Export Commodities Subject to Inspection Implemented by the Institutions of Commodity Inspection (Ⅱ)

Issued on April 26, 1995 by the State Administration of Import and Export Commodity Inspection of

New Category List of Import and Export Commodities Subject to Inspection Implemented by State Administration of Import and Export Commodity Inspection

In light of the needs of China’s foreign economic and trade development and the regulations of the Law of Commodity Inspection, the State Administration of Import and Export Commodity Inspection issued a readjusted Category List of Import and Export Commodities Subject to Inspection Implemented by the Institutions of Commodity Inspection, and it is implemented officially on July 1, 1995. The new category list is compiled on the classified basis of the Commodity Names and Code Coordination System used widely around the world. The commodity code and name are identical to the Commodity List of the Custom Statisticsrelating to which there are 2。

Commentary on the Newly Implemented Amendment Ⅷ to the Criminal Law Concerning Children’s Rights in China

Amendment VIII to the Criminal Law of the PRC, which went into effect on hMay 1, 2011, is not only in line with the basic spirit of the Universal Declaration of Human Rights and relevant international human rights treaties, but also is related to the priority area of the Program for The Development of Chinese Children （2011- 2020）. Thus, it helps to safeguard the rights of juveniles and strengthens criminal law protection of their rights and interests. In consideration of the weak position of juveniles and the criminal law means of protecting their rights and interests,

Synaptic Transistor Implemented Using Quasi-2D Molybdenum Oxide

Recent years has seen increasing interest in building artificial synaptic devices to emulate the computation performed by biological synapses.Biological synapses are functional links between neurons,through which information is transmitted in the neuron network.The information can be stored and processed simultaneously in the same synapse through tuning synaptic weight,which is defined as the strength of the correlation between

Flatness predictive model based on T-S cloud reasoning network implemented by DSP

The accuracy of present flatness predictive method is limited and it just belongs to software simulation. In order to improve it, a novel flatness predictive model via T-S cloud reasoning network implemented by digital signal processor(DSP) is proposed. First, the combination of genetic algorithm(GA) and simulated annealing algorithm(SAA) is put forward, called GA-SA algorithm, which can make full use of the global search ability of GA and local search ability of SA. Later, based on T-S cloud reasoning neural network, flatness predictive model is designed in DSP. And it is applied to 900 HC reversible cold rolling mill. Experimental results demonstrate that the flatness predictive model via T-S cloud reasoning network can run on the hardware DSP TMS320 F2812 with high accuracy and robustness by using GA-SA algorithm to optimize the model parameter.

Land Consolidation Model Implemented by Cooperated Rural Households——A Case of Hubin Village, Baijia Town of Dianjiang County

In view of the problems faced by implementation model of cooperated rural households in terms of limited use scope, insufficient governmental policy and one-sided participation of rural households, the comprehensive evaluation index system of the feasibility of implementation model of cooperated rural households is established. From the macro-perspective, seven indexes including urban land use, township economic development stage, urbanization and township enterprise structure are selected. From the micro-perspective, 12 indexes including location situation, governance capability and economic developmental level at village level are selected. Besides, the multiple factors evaluation model is established. Taking implementation items of cooperated rural households in Hubin Village, Baijia Town of Dianjiang County as an example, the implantations items are analyzed by using the comprehensive evaluation model and the evaluation results are in accordance with actual situation. The effectiveness of the comprehensive evaluation method is proved. However, affected by the limited application scope of implementation model, insufficient policy and one-sided farmers' participation, in order to avoid copying the successful experience of completed pilot blindly, farmers are suggested to adopt the implementation model of cooperated rural households.

The new textiles GB to be implemented in August

After a transitional period of one year, the new version of the National Textile Product General Safety Tech- nical Code will be implemented from August 1. Compared to the old GB, the new GB expanded the age range covered by the infant textile products, 2～3 years old children’s clothing pro- duced in accordance with the original standard will be off the shelf after Au- gust. According to reports, the

After the Women's Protection Law was Implemented

THREE years have passed since China.promulgated and implemented the Law of the People’s Republic of China on the Protection of the Rights and Interests of Women, the first of its kind in China. What role has this law played and what effect has it had on the situation of Chinese women over the past three years? In April and May of 1995, the Standing Committee of the National People’s Congress (NPC) conducted an extensive and profound investigation in eight of China’s provinces, autonomous regions and municipalities

How Government Policy Is Implemented in the Private University:A Case Study from China

This article is based on original research into institutional governance in private universities.It provides an in-depth qualitative study of how the private university in China has responded in practice to government policies.The analysis focuses on three dimensions:the roles of the university council,the president,and the university constitution.The study adopted two methods of data collection:31 separate semi-structured interviews with 21 informants as well as extensive documentary analysis.Findings revealed that while external policies provide an impetus for change for each university,how key actors in institutional governance understand these policies has a significant effect on how the policies are implemented.This can result in change that can be viewed as either symbolic alteration or as operational change.This study provides insights from an empirical investigation by way of a case study on private university governance in China,and also a referential perspective on the governance of private universities in general for policy makers,senior managers,and academics.

Machine learning algorithm partially reconfigured on FPGA for an image edge detection system

Unmanned aerial vehicles(UAVs)have been widely used in military,medical,wireless communications,aerial surveillance,etc.One key topic involving UAVs is pose estimation in autonomous navigation.A standard procedure for this process is to combine inertial navigation system sensor information with the global navigation satellite system(GNSS)signal.However,some factors can interfere with the GNSS signal,such as ionospheric scintillation,jamming,or spoofing.One alternative method to avoid using the GNSS signal is to apply an image processing approach by matching UAV images with georeferenced images.But a high effort is required for image edge extraction.Here a support vector regression(SVR)model is proposed to reduce this computational load and processing time.The dynamic partial reconfiguration(DPR)of part of the SVR datapath is implemented to accelerate the process,reduce the area,and analyze its granularity by increasing the grain size of the reconfigurable region.Results show that the implementation in hardware is 68 times faster than that in software.This architecture with DPR also facilitates the low power consumption of 4 mW,leading to a reduction of 57%than that without DPR.This is also the lowest power consumption in current machine learning hardware implementations.Besides,the circuitry area is 41 times smaller.SVR with Gaussian kernel shows a success rate of 99.18%and minimum square error of 0.0146 for testing with the planning trajectory.This system is useful for adaptive applications where the user/designer can modify/reconfigure the hardware layout during its application,thus contributing to lower power consumption,smaller hardware area,and shorter execution time.

Memristors-coupled neuron models with multiple firing patterns and homogeneous and heterogeneous multistability

Memristors are extensively used to estimate the external electromagnetic stimulation and synapses for neurons.In this paper,two distinct scenarios,i.e.,an ideal memristor serves as external electromagnetic stimulation and a locally active memristor serves as a synapse,are formulated to investigate the impact of a memristor on a two-dimensional Hindmarsh-Rose neuron model.Numerical simulations show that the neuronal models in different scenarios have multiple burst firing patterns.The introduction of the memristor makes the neuronal model exhibit complex dynamical behaviors.Finally,the simulation circuit and DSP hardware implementation results validate the physical mechanism,as well as the reliability of the biological neuron model.

A Function-Aware Mimic Defense Theory and Its Practice

In recent years,network attacks have been characterized by diversification and scale,which indicates a requirement for defense strategies to sacrifice generalizability for higher security.As the latest theoretical achievement in active defense,mimic defense demonstrates high robustness against complex attacks.This study proposes a Function-aware,Bayesian adjudication,and Adaptive updating Mimic Defense(FBAMD)theory for addressing the current problems of existing work including limited ability to resist unknown threats,imprecise heterogeneous metrics,and over-reliance on relatively-correct axiom.FBAMD incorporates three critical steps.Firstly,the common features of executors’vulnerabilities are obtained from the perspective of the functional implementation(i.e,input-output relationships extraction).Secondly,a new adjudication mechanism considering Bayes’theory is proposed by leveraging the advantages of both current results and historical confidence.Furthermore,posterior confidence can be updated regularly with prior adjudication information,which provides mimic system adaptability.The experimental analysis shows that FBAMD exhibits the best performance in the face of different types of attacks compared to the state-of-the-art over real-world datasets.This study presents a promising step toward the theo-retical innovation of mimic defense.

Real-Time Co-optimization of Gear Shifting and Engine Torque for Predictive Cruise Control of Heavy-Duty Trucks

Fuel consumption is one of the main concerns for heavy-duty trucks.Predictive cruise control(PCC)provides an intriguing opportunity to reduce fuel consumption by using the upcoming road information.In this study,a real-time implementable PCC,which simultaneously optimizes engine torque and gear shifting,is proposed for heavy-duty trucks.To minimize fuel consumption,the problem of the PCC is formulated as a nonlinear model predictive control(MPC),in which the upcoming road elevation information is used.Finding the solution of the nonlinear MPC is time consuming;thus,a real-time implementable solver is developed based on Pontryagin’s maximum principle and indirect shooting method.Dynamic programming(DP)algorithm,as a global optimization algorithm,is used as a performance benchmark for the proposed solver.Simulation,hardware-in-the-loop and real-truck experiments are conducted to verify the performance of the proposed controller.The results demonstrate that the MPC-based solution performs nearly as well as the DP-based solution,with less than 1%deviation for testing roads.Moreover,the proposed co-optimization controller is implementable in a real-truck,and the proposed MPC-based PCC algorithm achieves a fuel-saving rate of 7.9%without compromising the truck’s travel time.

Acupuncture:Effective and Recommended but More Implementation Needed

Acupuncture enjoys a robust evidence base for dozens of clinical conditions and decades of research exploring its mechanisms of action. It has over 9,000 positive recommendations from official government and clinical guidelines. However, it still remains relatively inaccessible in the United States, Europe and elsewhere, especially compared to the strength of evidence-based recommendations for its use. Acupuncture would benefit from robust implementation strategies, utilizing insights and approaches from implementation science. The clinical use of Botox for migraine suffered from weaker evidence of effectiveness and greater evidence of harm, but using a streamlined and robust implementation strategy, Allergan was able to achieve widespread implementation from when it began its efforts around 2010. Such a systematic approach that identifies and overcomes barriers to implementation for acupuncture would benefit millions of people who currently are offered less effective and more invasive treatments, contrary to the recommendations of clinical guidelines.

Implementation Status and Development Strategies of Study Tour in Primary Schools in Nanchang City : A Case Study of L Primary School

In recent years,with the support and promotion of relevant policies such as the Opinions on Promoting Study Tour for Primary and Secondary School Students jointly issued by the Ministry of Education and 11 other departments,a wave of study tour has been sparked nationwide from individual pilot projects to gradual promotion.In this paper,students and teachers from grades 4 to 6 of L Primary School in Nanchang City,Jiangxi Province were selected as the survey objects.Combining the survey questionnaire,the current situation of conducting study tour in the primary school was sorted out and analyzed in depth from several aspects such as study tour cognition,study tour participation,study tour implementation,etc.Based on the survey results and relevant research,the current problems in conducting study tours in primary schools were summarized,and targeted improvement measures were proposed,in order to promote the healthy development of study tours in primary schools.

Key Factors to Consider When Introducing a New Vaccine in Low-Income Settings: Lessons from Malawi Expanded Program on Immunization

Introduction: As new vaccines become available, countries must assess the relevance to introduce them into their vaccination schedules. Malawi has recently introduced several new vaccines and plans to introduce more. This study was conducted to identify key factors that need to be considered when deciding to introduce a new vaccine and current challenges faced by low and middle income countries using Malawi as an example. Methodology: The study employed a desk review approach, examining published literature from various sources such as PubMed, Medline, and Google Scholar. Policy documents from organizations like the World Health Organization, GAVI the Alliance, and the Ministry of Health for Malawi were also included. A total of 99 articles and documents on new vaccine introduction, challenges of immunization, policy documents in immunization and health systems strengthening were included. The review focused on addressing five key areas critical to new vaccine introduction namely: the need for a vaccine, availability of the vaccine, safety and effectiveness of the vaccine, demand for the vaccine, and the prudent use of public or private funds. Results: Malawi considered the burden of cervical cancer and the significance of malaria in the country when introducing the HPV and malaria vaccines. The country opted for vaccines that can be handled by the cold chain capacity and available human resources. Despite that malaria vaccine and Typhoid Conjugate Vaccine trials were done in country, there are limited vaccine safety and efficacy trials conducted in Malawi, leading to a reliance on WHO-prequalified vaccines. Demand for newly introduced vaccines varied, with high demand for Oral Cholera Vaccine during a cholera outbreak, while demand for COVID-19 vaccines decreased over time. Although cost-effectiveness studies were limited in the country, 2 studies indicated that Typhoid Conjugate Vaccine and malaria vaccine would be cost effective. All these have been implemented despite having challenges like lack of accurate surveillance data, inadequate cold chain capacity, limited safety and efficacy vaccine clinical trials, political influence, and limited funding. Conclusion: Despite several challenges Malawi set a good example of the careful considerations required before introducing a new vaccine. The process involves data review, priority setting, precise planning, and consultation with stakeholders. Low-income countries should invest in vaccine safety, efficacy, and cost-effectiveness trials.

Renewal Needs and Solutions for Urban Old Communities under the Guidance of Resilient Security

The renewal strategy guided by resilient security aims to enhance the community’s resistance and resilience to natural disasters and other emergency situations,ensuring that the community can quickly restore normal functions in the face of shocks.By enhancing the resilience of the community,residents’sense of security and satisfaction can be improved,while promoting the long-term stability and prosperity of the city.Using methods such as literature review,case analysis,and demand investigation,this paper investigates the needs and strategies for the renewal of urban old communities,and explores the demand analysis and solutions for the renewal of urban old communities under the guidance of resilient security.This paper aims to address the lack of resilience in old communities caused by outdated construction,aging infrastructure,and insufficient public services,as well as how to improve the adaptability,resilience,and transformation ability of communities through renovation and transformation.

Thinking on Improving Presentation Teaching-Based on the Empirical Analysis of Presentation in College English Classes of Junior Non-English Majors in Universities of Science and Engineering

Based on the empirical investigation of presentation in college English classes for junior non-English majors in science and engineering universities,the author explains her own thinking on how to improve presentation teaching from four aspects:setting teaching objectives,selecting teaching contents,using teaching methods,and evaluating and implementing methods.